Design and develop cloud-native enterprise systems while mentoring team members and driving technical alignment in a collaborative and growth-focused engineering culture.
We are Ataccama, and we are on a mission to empower organizations to maximize the transformative potential of data and AI. Our product enables both technical and less technical ‘data people’ across their organizations to create high-quality, governed, safe, and reusable data products. It’s what made us a Leader in the Gartner Magic Quadrant® for Data Quality Solutions™, and what inspired Bain Capital Tech Opportunities to invest in our future growth.
Our vision is to be the leading AI-powered cloud data management company and to do that, we’re making Ataccama a great place to work and grow. Our people are located across the globe. They succeed by collaborating as a team and thrive in our company culture defined by these core values:
Challenging Fun
ONE Team
Customer Centric
Candid and Caring
Aim High
Your Challenge
Design, develop and operate our cloud native enterprise system that scales well and runs reliably 24/7
Lead cross team initiatives, cracking the hardest technical challenges, bringing technical alignment to our SaaS engineering organization
Help drive our SaaS architecture, including redesigning the current platform and streamlining the release process to ensure rapid time-to-value while maintaining high quality and
security standards
Mentor others (both individuals and teams) by sharing your vast experience, best practices and lessons learned from past failures
Take end-to-end ownership of the entire product, from feature development to achieving ambitious SLAs
Attain a profound understanding of data management and design scalable systems capable of handling vast amounts of data within the cloud ecosystem and across various data sources
Is This You?
You have strong experience with building and running multitenant, cloud native systems reliably at scale
“Keep things simple” and "You build it you run it" mentality is your default mindset
You enjoy collaborating across product engineering teams on software architecture with a strong focus on enabling feature teams to deliver high-quality software
You have a lot of experience with many successes and failures to talk about
You get joy and pride in sharing your experience and mentoring others
You still enjoy being hands on - you write clean, well-designed, documented, and testable code, with a strong emphasis on quality, consistency, and speed of delivery
You have a strong expertise in many of the following areas: distributed systems, multi-tenancy, message queues, continuous integration & deployment
You are able to collaborate productively with others
Work equipment
Company laptop
Company mobile phone + SIM card & package of mobile data
Perks & Benefits
Long-Term Incentive Program
2 sick days and 25 days of vacation, with the option to request additional Flexible Time-Off days when needed
The Global Family Support Program - a paid leave program to help all parents focus on the new addition to their family
Flexible working hours & hybrid work setup
Benefit Plus - flexible employee benefit platform (incl. Multisport card)
Annual package for mental health support
"Bring Your Friend" referral program
Shared company cards for free entrance to Prague Zoo & Botanical garden
Company bikes, longboards, e-scooters
Conference tickets to the best industry events of the year
Online courses & company access to Udemy to hone your skills
Company library, where you can even suggest the best educational books for us to order
Kitchens stocked with fresh fruit and juice, teas, and the best coffee
Perks & BenefitsExtracted with AI
Education Stipend:
Company access to Udemy to hone your skills
Flexible Work Hours:
Flexible working hours & hybrid work setup
Other Benefit:
Annual package for mental health support
Paid Time Off:
2 sick days and 25 days of vacation, with the option to request additional Flexible Time-Off days when needed
Ataccama ONE is a self-driving data management platform combining collaborative data stewardship, a robust data processing engine, machine learning, multiple deployment options, and enterprise-proven capabilities.
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